Title: Learning to Synthesize Arm Motion to Music By Example
Authors: Oore, Sageev
Akiyama, Yasushi
Citation: WSCG '2006: Full Papers Proceedings: The 14-th international Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2006: University of West Bohemia, Plzen, Czech Republic, January 31 – February 2, 2006, p. 201-208.
Issue Date: 2006
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2006/Papers_2006/Full/!WSCG2006_Full_Proceedings_Final.pdf
ISBN: 80-86943-03-8
Keywords: snímání pohybu;analýza tanečního pohybu;hudební analýza;vztah hudba pohyb;animace
Keywords in different language: motion capture;dance motion analysis;musical analysis;motion-music relation;animation
Abstract: We present a system that generates arm dancing motion to new music tracks, based on sample motion captured data of dancing to other pieces of music. Rather than adapting existing motion, as most music-animation systems do, our system is novel in that it analyzes both the supplied motion and music data for certain characteristics (eg. melodic contour, loudness, etc), and learns relationships between the two. When new music is provided, the characteristics are analyzed as before, and used to predict characteristics of the motion. A generative process then creates motion curves according to these constraints. A demonstration is presented showing the results on both slow and fast tunes, including an automatically-generated trio of backup dancers for a jazz standard. The system could be extended naturally to other movements beyond arm dancing.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2006: Full Papers Proceedings

Files in This Item:
File Description SizeFormat 
Oore.pdfPlný text4,37 MBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/6657

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.